دانلود رایگان مقاله تقارن بازگشتی برای تولید افزودنی شکل هندسی پیچیده و مادی ناهمگن

Abstract

We present a generative method for the creation of geometrically complex and materially heterogeneous objects. By combining generative design and additive manufacturing, we demonstrate a unique form-finding approach and method for multi-material 3D printing. The method offers a fast, automated and controllable way to explore an expressive set of symmetrical, complex and colored objects, which makes it a useful tool for design exploration and prototyping. We describe a recursive grammar for the generation of solid boundary surface models suitable for a variety of design domains. We demonstrate the generation and digital fabrication of watertight 2-manifold polygonal meshes, with feature-aligned topology that can be produced on a wide variety of 3D printers, as well as post-processed with traditional 3D modeling tools. To date, objects with intricate spatial patterns and complex heterogeneous material compositions generated by this method can only be produced through 3D printing.

4. Conclusion

In this paper, we have presented an algorithm for the generation of complex 3-dimensional geometries incorporating heterogeneous material distribution for the creation of multi-material objects. The method presented promotes significant diversity in outcomes and, as such, is suitable for creative practice and design exploration. The ability to rapidly generate a wide yet diverse array of forms that are at once geometrically complex and materially heterogeneous makes it possible to design, and digitally fabricate, forms that are highly customizable. The method shown, therefore, introduces unique design opportunities that leverage, and lie at the intersection of additive manufacturing and generative design. Finally, the incorporation of material-based parameters with shape-generating methods opens up a new design space for generative modeling as well as new and exciting opportunities for creative practitioners including designers, artists and engineers. While our method generates material distributions informed by, and embedded within geometrical descriptions, future work may explore the combination of geometrical and material modeling thus offering ways in which geometry and material can simultaneously interact within a generative system.